The pioneering research of Hirotugu Akaike has an international reputation for profoundly affecting how data and time series are analyzed and modelled and is highly regarded by the statistical and technological communities of Japan and the world. His 1974 paper "A new look at the statistical model identification" is one of the most frequently cited papers in the area of engineering, technology, and applied sciences. It introduced the broad scientific community to model identification using the methods of Akaike's criterion AIC. The AIC method is cited and applied in almost every area of physical and social science. The best way to learn about the seminal ideas of pioneering researchers is to read their original papers. This book reprints 29 papers of Akaike's more than 140 papers. The slected papers are divided into six groups, represent successive phases of Akaike's research interests during his more than 40 years of work at the prestigious Institute of Statistical Mathematical in Tokyo.
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First Sentence:
We have many occasions to analyse the pattern of occurrences of serial random events, for example, automobile flows, dropping ends of cocoon filaments. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
purely random type, optimum gradient method, classical maximum likelihood principle, autoregressive model fitting, control program package, sample coherency, crosscovariance function, silk production process, zero partial association, prewhitening operation, cement rotary kiln, kth model, entropy maximization principle, predictive point, performance characteristic function, fitting autoregressive models, expected log likelihood, information theoretic quantity, singular increase, kiln process, statistical model identification, predictor space, improper solutions, maximum likelihood computation, lag window Key Phrases - Capitalized Phrases (CAPs): (learn more)
Institute of Statistical Mathematics, New York, John Wiley, International Symposium, Academic Press, Akademiai Kiado, Monte Carlo, System Sciences, Applications of Statistics, Computer Science Monographs, Kluwer Academic Publishers, Research Memo, San Francisco, Bureau of the Census, Frontiers of Statistical Modeling, Hawaii International Conference, Japan Conference, Kyushu Electric Power Company, Wiener Berichte, Berkeley Symp, Economic Research Report, Holden Day, Ministry of Education, Pergamon Press, Proceedings of the First New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
We have many occasions to analyse the pattern of occurrences of serial random events, for example, automobile flows, dropping ends of cocoon filaments. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
purely random type, optimum gradient method, classical maximum likelihood principle, autoregressive model fitting, control program package, sample coherency, crosscovariance function, silk production process, zero partial association, prewhitening operation, cement rotary kiln, kth model, entropy maximization principle, predictive point, performance characteristic function, fitting autoregressive models, expected log likelihood, information theoretic quantity, singular increase, kiln process, statistical model identification, predictor space, improper solutions, maximum likelihood computation, lag window Key Phrases - Capitalized Phrases (CAPs): (learn more)
Institute of Statistical Mathematics, New York, John Wiley, International Symposium, Academic Press, Akademiai Kiado, Monte Carlo, System Sciences, Applications of Statistics, Computer Science Monographs, Kluwer Academic Publishers, Research Memo, San Francisco, Bureau of the Census, Frontiers of Statistical Modeling, Hawaii International Conference, Japan Conference, Kyushu Electric Power Company, Wiener Berichte, Berkeley Symp, Economic Research Report, Holden Day, Ministry of Education, Pergamon Press, Proceedings of the First New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 93
books:
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49
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- Time Series Analysis: Forecasting & Control (3rd Edition) by George Box on 5 pages
- Statistical Analysis and Control of Dynamic Systems (Mathematics and its Applications) by H. Akaike on 4 pages
- Spectral Analysis and Its Applications by Gwilym M. Jenkins on page 182, page 213, and page 222
- Information Theory and Statistics (Dover Books on Mathematics) by Solomon Kullback on page 213, page 221, and page 409
- The Statistical Analysis of Time Series (Wiley Classics Library) by T. W. Anderson on page 222, and page 306
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- Resampling Methods for Dependent Data (Springer Series in Statistics) by S. N. Lahiri in Back Matter
- Introduction to Variance Estimation (Springer Series in Statistics) by Kirk Wolter in Back Matter
- Inference in Hidden Markov Models (Springer Series in Statistics) by Olivier Cappé in Back Matter
- Model Assisted Survey Sampling (Springer Series in Statistics) by Carl-Erik Särndal in Back Matter
- Statistical Inference for Ergodic Diffusion Processes (Springer Series in Statistics) by Yury A. Kutoyants in Back Matter
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